3 ms·

But the problem is the 99%, no ?

• verdverm 3y ago
  It works fine 99% of the time by just using a small amount of extra instruction in the actual prompt. The method GP describes works in any language with just the basic building blocks of http requests, regexp, and a json decoder. Why do we need a library for this?
  • icyfox 3y ago
    You might not! Depends on what you're looking for. I've been finding this library most helpful in places where I have a lot of GPT calls in pipelines, so having typehinted schema return values / some built in error correction / variable injection / establishing standards for the IO of prompt schema is the most useful. So IMO I see its main use as a good standard set of operations that work pretty well out of the box and that allow you to hack around them with decent flexibility.
    • verdverm 3y ago
      yeah, I don't disagree, however this idea is better a function I use within gpt-index or langchain. There is a horse race and we're all making our bets about who's going to win